{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# -- 将数据框命名为titanic\n",
    "# -- 将PassengerId设置为索引\n",
    "# -- 绘制一个展示男女乘客比例的扇形图\n",
    "# -- 绘制一个展示船票Fare, 与乘客年龄和性别的散点图\n",
    "# -- 有多少人生还？\n",
    "# -- 绘制一个展示船票价格的直方图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
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       "      <td>A/5 21171</td>\n",
       "      <td>7.2500</td>\n",
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       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C85</td>\n",
       "      <td>C</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113803</td>\n",
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       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>373450</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   PassengerId  Survived  Pclass  \\\n",
       "0            1         0       3   \n",
       "1            2         1       1   \n",
       "2            3         1       3   \n",
       "3            4         1       1   \n",
       "4            5         0       3   \n",
       "\n",
       "                                                Name     Sex   Age  SibSp  \\\n",
       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
       "4                           Allen, Mr. William Henry    male  35.0      0   \n",
       "\n",
       "   Parch            Ticket     Fare Cabin Embarked  \n",
       "0      0         A/5 21171   7.2500   NaN        S  \n",
       "1      0          PC 17599  71.2833   C85        C  \n",
       "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
       "3      0            113803  53.1000  C123        S  \n",
       "4      0            373450   8.0500   NaN        S  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "#将数据框命名为titanic\n",
    "titanic = pd.read_csv('data/train.csv')\n",
    "titanic.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
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       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PassengerId</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
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       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17599</td>\n",
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       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113803</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>373450</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Survived  Pclass  \\\n",
       "PassengerId                     \n",
       "1                   0       3   \n",
       "2                   1       1   \n",
       "3                   1       3   \n",
       "4                   1       1   \n",
       "5                   0       3   \n",
       "\n",
       "                                                          Name     Sex   Age  \\\n",
       "PassengerId                                                                    \n",
       "1                                      Braund, Mr. Owen Harris    male  22.0   \n",
       "2            Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0   \n",
       "3                                       Heikkinen, Miss. Laina  female  26.0   \n",
       "4                 Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0   \n",
       "5                                     Allen, Mr. William Henry    male  35.0   \n",
       "\n",
       "             SibSp  Parch            Ticket     Fare Cabin Embarked  \n",
       "PassengerId                                                          \n",
       "1                1      0         A/5 21171   7.2500   NaN        S  \n",
       "2                1      0          PC 17599  71.2833   C85        C  \n",
       "3                0      0  STON/O2. 3101282   7.9250   NaN        S  \n",
       "4                1      0            113803  53.1000  C123        S  \n",
       "5                0      0            373450   8.0500   NaN        S  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#将PassengerId设置为索引\n",
    "titanic = titanic.set_index('PassengerId')\n",
    "titanic.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘制一个展示男女乘客比例的扇形图\n",
    "Male = (titanic.Sex == 'male').sum()\n",
    "Female = (titanic.Sex == 'female').sum()\n",
    "# female = titanic.query('Sex==\"female\"')\n",
    "proportions= [Male,Female]\n",
    "plt.pie(proportions,labels=['Male','Female'],shadow=True,\n",
    "       autopct='%1.1f%%',startangle=90,explode=(0.15,0))\n",
    "plt.axis('equal')\n",
    "plt.title('Sex Proportion')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-5.0, 85.0)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 598x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘制一个展示船票Fare, 与乘客年龄和性别的散点图\n",
    "lm = sns.lmplot(x='Age',y='Fare',data=titanic,hue='Sex',fit_reg=False)\n",
    "lm.set(title='Fare x Age')\n",
    "#设置坐标轴取值范围\n",
    "axes = lm.axes\n",
    "axes[0,0].set_ylim(-5,)\n",
    "axes[0,0].set_xlim(-5,85)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.int64(342)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#有多少人生还？\n",
    "titanic.Survived.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘制一个展示船票价格的直方图\n",
    "df = titanic.Fare.sort_values(ascending=False)\n",
    "plt.hist(df,bins=(np.arange(0,600,10)))\n",
    "plt.xlabel('Fare')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Fare Payed Histrogram')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "年龄统计信息：\n",
      "count    714.000000\n",
      "mean      29.699118\n",
      "std       14.526497\n",
      "min        0.420000\n",
      "25%       20.125000\n",
      "50%       28.000000\n",
      "75%       38.000000\n",
      "max       80.000000\n",
      "Name: Age, dtype: float64\n",
      "\n",
      "年龄中位数: 28.0\n",
      "\n",
      "=== 推理结果 ===\n",
      "目标人群：男性年轻人（年龄 < 28.0岁）或 女性老年人（年龄 >= 28.0岁）\n",
      "总人数: 332\n",
      "生还人数: 148\n",
      "生存概率: 0.4458 (44.58%)\n",
      "\n",
      "--- 详细分析 ---\n",
      "男性年轻人（204人）生存概率: 0.2255 (22.55%)\n",
      "女性老年人（128人）生存概率: 0.7969 (79.69%)\n"
     ]
    }
   ],
   "source": [
    "# 推理功能：计算男性年轻人或女性老年人的生存概率\n",
    "# 首先查看年龄数据的分布情况\n",
    "print(\"年龄统计信息：\")\n",
    "print(titanic['Age'].describe())\n",
    "print(f\"\\n年龄中位数: {titanic['Age'].median():.1f}\")\n",
    "\n",
    "# 定义年龄阈值（使用中位数作为年轻人和老年人的分界线）\n",
    "age_threshold = titanic['Age'].median()\n",
    "\n",
    "# 筛选男性年轻人（年龄小于阈值）和女性老年人（年龄大于等于阈值）\n",
    "male_young = titanic[(titanic['Sex'] == 'male') & (titanic['Age'] < age_threshold)]\n",
    "female_old = titanic[(titanic['Sex'] == 'female') & (titanic['Age'] >= age_threshold)]\n",
    "\n",
    "# 合并两组人群\n",
    "target_group = pd.concat([male_young, female_old])\n",
    "\n",
    "# 计算生存概率\n",
    "if len(target_group) > 0:\n",
    "    survival_rate = target_group['Survived'].mean()\n",
    "    survival_count = target_group['Survived'].sum()\n",
    "    total_count = len(target_group)\n",
    "    \n",
    "    print(f\"\\n=== 推理结果 ===\")\n",
    "    print(f\"目标人群：男性年轻人（年龄 < {age_threshold:.1f}岁）或 女性老年人（年龄 >= {age_threshold:.1f}岁）\")\n",
    "    print(f\"总人数: {total_count}\")\n",
    "    print(f\"生还人数: {survival_count}\")\n",
    "    print(f\"生存概率: {survival_rate:.4f} ({survival_rate*100:.2f}%)\")\n",
    "    \n",
    "    # 分别显示两组人群的生存情况\n",
    "    print(f\"\\n--- 详细分析 ---\")\n",
    "    if len(male_young) > 0:\n",
    "        male_young_rate = male_young['Survived'].mean()\n",
    "        print(f\"男性年轻人（{len(male_young)}人）生存概率: {male_young_rate:.4f} ({male_young_rate*100:.2f}%)\")\n",
    "    if len(female_old) > 0:\n",
    "        female_old_rate = female_old['Survived'].mean()\n",
    "        print(f\"女性老年人（{len(female_old)}人）生存概率: {female_old_rate:.4f} ({female_old_rate*100:.2f}%)\")\n",
    "else:\n",
    "    print(\"未找到符合条件的数据\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ml",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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